75 lines
3.1 KiB
C++
75 lines
3.1 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "runtime/backend.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/known_element_types.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, multiple_backends)
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{
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Shape shape{2, 2};
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auto A1 = make_shared<op::Parameter>(element::f32, shape);
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auto B1 = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(A1 + B1, ParameterVector{A1, B1});
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auto A2 = make_shared<op::Parameter>(element::f32, shape);
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auto B2 = make_shared<op::Parameter>(element::f32, shape);
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auto g = make_shared<Function>(A2 * B2, ParameterVector{A2, B2});
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auto backend1 = runtime::Backend::create("${BACKEND_NAME}");
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auto backend2 = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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shared_ptr<runtime::Tensor> a1 = backend1->create_tensor(element::f32, shape);
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shared_ptr<runtime::Tensor> b1 = backend1->create_tensor(element::f32, shape);
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shared_ptr<runtime::Tensor> result1 = backend1->create_tensor(element::f32, shape);
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shared_ptr<runtime::Tensor> a2 = backend2->create_tensor(element::f32, shape);
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shared_ptr<runtime::Tensor> b2 = backend2->create_tensor(element::f32, shape);
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shared_ptr<runtime::Tensor> result2 = backend2->create_tensor(element::f32, shape);
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copy_data(a1, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector());
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copy_data(b1, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector());
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copy_data(a2, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector());
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copy_data(b2, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector());
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auto handle1 = backend1->compile(f);
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handle1->call_with_validate({result1}, {a1, b1});
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EXPECT_TRUE(test::all_close_f(read_vector<float>(result1),
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(test::NDArray<float, 2>({{6, 8}, {10, 12}})).get_vector()));
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auto handle2 = backend2->compile(g);
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handle2->call_with_validate({result2}, {a2, b2});
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EXPECT_TRUE(test::all_close_f(read_vector<float>(result2),
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(test::NDArray<float, 2>({{5, 12}, {21, 32}})).get_vector()));
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}
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